Acoustical transmission line model for ultrasonic transducers for wide-bandwidth application

Chen, Yeong-chin

doi:10.1016/s0894-9166(10)60014-6

Cited by 12 publications

(7 citation statements)

References 16 publications

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“…EMATs have been widely used in non-destructive testing in the generation of Shear and Lamb waves [3,33]. In this study EMATs manufactured by SONEMAT Limited in the UK (Figure 1) have been used to carry out the experiments of interests.…”

Section: Electromagnetic Acoustic Transducers For Condition Monitoringmentioning

confidence: 99%

A heuristic method for detecting and locating faults employing electromagnetic acoustic transducers

Muñoz¹,

Márquez²,

Jiménez³

et al. 2017

EiN

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Science and Technology article citation info: IntroductionNon-destructive testing (NDT) for fault detection in structures has received more attention in recent years. Significant advances in instrumentation technology and digital signal processing have been made [16,17,19,25,30]. Signal processing methods together with structural health monitoring (SHM) permit the identification and diagnosis of faults and their location based on changes in static and

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Section: Electromagnetic Acoustic Transducers For Condition Monitoringmentioning

confidence: 99%

A heuristic method for detecting and locating faults employing electromagnetic acoustic transducers

Muñoz¹,

Márquez²,

Jiménez³

et al. 2017

EiN

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“…1.1) is a transducer for non-contact sound generation and reception using electromagnetic mechanisms. It has been widely used in non-destructive testing in the generation of Shear and Lamb waves [2]. A new EMAT has been developed specifically for this purpose, with a specific configuration of coil and magnets.…”

Section: A New Electromagnetic Acoustic Transducer For Condition Monimentioning

confidence: 99%

A New Condition Monitoring Approach for Maintenance Management in Concentrate Solar Plants

Muñoz

Márquez

Cheng

et al. 2015

Advances in Intelligent Systems and Computing

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The concentrated solar energy is one of the most important renewable energy source. It is crucial to ensure that the solar receivers work properly to avoid failures, and to increase the reliability, availability, safety and maintainability. Nondestructive testing (NDT) is used in structural health monitoring systems for fault detection and diagnosis (FDD). The main purpose of this paper is to present a novel approach for FDD based on long range ultrasonic technology, together with a signal processing of ultrasonic waves (Shear waves) employing wavelet transforms using a variable window size. A new electromagnetic acoustic transducer (EMAT) generates high frequency waves that flow through the material. A similar transducer is also employed as a sensor to collect the guided wave. These waves have a particular behaviour according to the condition of the material. It is analyse the influence of the temperature in the propagation of an ultrasonic pulse through the material. This information is very useful to carry out a proper signal analysis in order to find cracks or failures on the pipes, the correct operation of the system, etc.

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“…It emits a pulse in the form of vibrations that flow through the structure to be inspected and is read by the other MFCs. This technique is called the transmission method (Chen, 2010). If there is a defect, for example a crack in the transmission direction of the wave, a reflection of part of the wave is received, and therefore, the delay in the wave transmission will be reduced and the piezoelectric sensor will detect that imperfection.…”

Section: Laboratory Platformmentioning

confidence: 99%

A novel approach to fault detection and diagnosis on wind turbines

Muñoz¹,

Hermosa²,

González-Carrato³

et al. 2014

Global NEST Journal

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<div> <p>The structure of the wind turbines nowadays is a critical element due to their importance from the reliability, availability, safety, and cost points of view. This is more relevant when the offshore wind turbine is considered. This paper introduces a novel design of a Fault Detection and Diagnosis (FDD) model based on ultrasound technique. The FDD model will be able to detect fault/failures via the pulse-echo technique. The pulse-echo is got via piezoelectric transducers that are also employed as sensors. The signal processing is based on two steps. Firstly, a wavelet transform is applied to the measured signals with filtering purposes, in order to enhance the signal to noise ratio. Secondly, a time series modeling approach, as an autoregressive with exogenous input model, is employed for pattern recognition by minimizing the Akaike information criterion. An experimental platform is proposed to test the procedure, where pulse-echo experiments were employed before and after a fault occurred. The results from this paper lead to the identification of an early indication of structural problems induced by internal (material, shape, age, etc.) and external (temperature, humidity, pressure, etc.) factors. The model can anticipate catastrophic faults, reducing the preventive/corrective tasks and costs, etc, and increasing the availability of the wind turbine, and therefore the energy production.</p> </div> <p> </p>

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Acoustical transmission line model for ultrasonic transducers for wide-bandwidth application

Cited by 12 publications

References 16 publications

A heuristic method for detecting and locating faults employing electromagnetic acoustic transducers

A heuristic method for detecting and locating faults employing electromagnetic acoustic transducers

A New Condition Monitoring Approach for Maintenance Management in Concentrate Solar Plants

A novel approach to fault detection and diagnosis on wind turbines

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